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Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world
The Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir....
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632987/ https://www.ncbi.nlm.nih.gov/pubmed/34848787 http://dx.doi.org/10.1038/s41598-021-02593-5 |
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author | Dal Pont, Giorgi Duarte Ritter, Camila Agostinis, Andre Olivotto Stica, Paula Valeska Horodesky, Aline Cozer, Nathieli Balsanelli, Eduardo Netto, Otto Samuel Mäder Henn, Caroline Ostrensky, Antonio Pie, Marcio Roberto |
author_facet | Dal Pont, Giorgi Duarte Ritter, Camila Agostinis, Andre Olivotto Stica, Paula Valeska Horodesky, Aline Cozer, Nathieli Balsanelli, Eduardo Netto, Otto Samuel Mäder Henn, Caroline Ostrensky, Antonio Pie, Marcio Roberto |
author_sort | Dal Pont, Giorgi |
collection | PubMed |
description | The Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir. We tested the potential of environmental DNA metabarcoding to monitor the impact of both the dam and associated fish pass system in the Paraná River fish communities and to compare it with traditional monitoring methods. Using a fragment of the 12S gene, we characterized richness and community composition based on amplicon sequence variants, operational taxonomic units, and zero-radius OTUs. We combined GenBank and in-house data for taxonomic assignment. We found that different bioinformatics approaches showed similar results. Also, we found a decrease in fish diversity from 2019 to 2020 probably due to the recent extreme drought experienced in southeastern Brazil. The highest alpha diversity was recorded in the mouth of the fish pass system, located in a protected valley with the highest environmental heterogeneity. Despite the clear indication that the reference databases need to be continuously improved, our results demonstrate the analytical efficiency of the metabarcoding to monitor fish species. |
format | Online Article Text |
id | pubmed-8632987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86329872021-12-01 Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world Dal Pont, Giorgi Duarte Ritter, Camila Agostinis, Andre Olivotto Stica, Paula Valeska Horodesky, Aline Cozer, Nathieli Balsanelli, Eduardo Netto, Otto Samuel Mäder Henn, Caroline Ostrensky, Antonio Pie, Marcio Roberto Sci Rep Article The Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir. We tested the potential of environmental DNA metabarcoding to monitor the impact of both the dam and associated fish pass system in the Paraná River fish communities and to compare it with traditional monitoring methods. Using a fragment of the 12S gene, we characterized richness and community composition based on amplicon sequence variants, operational taxonomic units, and zero-radius OTUs. We combined GenBank and in-house data for taxonomic assignment. We found that different bioinformatics approaches showed similar results. Also, we found a decrease in fish diversity from 2019 to 2020 probably due to the recent extreme drought experienced in southeastern Brazil. The highest alpha diversity was recorded in the mouth of the fish pass system, located in a protected valley with the highest environmental heterogeneity. Despite the clear indication that the reference databases need to be continuously improved, our results demonstrate the analytical efficiency of the metabarcoding to monitor fish species. Nature Publishing Group UK 2021-11-30 /pmc/articles/PMC8632987/ /pubmed/34848787 http://dx.doi.org/10.1038/s41598-021-02593-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dal Pont, Giorgi Duarte Ritter, Camila Agostinis, Andre Olivotto Stica, Paula Valeska Horodesky, Aline Cozer, Nathieli Balsanelli, Eduardo Netto, Otto Samuel Mäder Henn, Caroline Ostrensky, Antonio Pie, Marcio Roberto Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title | Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title_full | Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title_fullStr | Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title_full_unstemmed | Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title_short | Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world |
title_sort | monitoring fish communities through environmental dna metabarcoding in the fish pass system of the second largest hydropower plant in the world |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632987/ https://www.ncbi.nlm.nih.gov/pubmed/34848787 http://dx.doi.org/10.1038/s41598-021-02593-5 |
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